The Fast Bilateral Solver
Computer Vision and Pattern Recognition
2016-07-25 v2
Abstract
We present the bilateral solver, a novel algorithm for edge-aware smoothing that combines the flexibility and speed of simple filtering approaches with the accuracy of domain-specific optimization algorithms. Our technique is capable of matching or improving upon state-of-the-art results on several different computer vision tasks (stereo, depth superresolution, colorization, and semantic segmentation) while being 10-1000 times faster than competing approaches. The bilateral solver is fast, robust, straightforward to generalize to new domains, and simple to integrate into deep learning pipelines.
Cite
@article{arxiv.1511.03296,
title = {The Fast Bilateral Solver},
author = {Jonathan T. Barron and Ben Poole},
journal= {arXiv preprint arXiv:1511.03296},
year = {2016}
}